[GitHub] [hudi] gudladona commented on issue #6611: SchemaEvolution : Default value not getting fetched properly for not null columns from confluent kafka schema registry

[GitBox <gi...@apache.org>]

gudladona commented on issue #6611:
URL: https://github.com/apache/hudi/issues/6611#issuecomment-1277546322

   We encountered this issue as well, we think this is due to the SparkAvroPostProcessor ignoring the default values from the passed target schema [here](https://github.com/apache/hudi/blob/master/hudi-spark-datasource/hudi-spark-common/src/main/scala/org/apache/spark/sql/avro/SchemaConverters.scala#L154) - when converting from struct type to avro type for primitive types this function sets no default (ignored from the source)  [here](https://github.com/apache/hudi/blob/master/hudi-spark-datasource/hudi-spark-common/src/main/scala/org/apache/spark/sql/avro/SchemaConverters.scala#L205). And [here](https://github.com/apache/hudi/blob/master/hudi-client/hudi-spark-client/src/main/scala/org/apache/hudi/AvroConversionUtils.scala#L192) this function does not set the defaults by type, rather gets the default for the field that was assumed to be set upstream. 


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